Introduction to Geospatial Data Analysis in Python

Online Course

Udemy
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Introduction to Geospatial Data Analysis in Python
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Introduction to Geospatial Data Analysis in Python
The course Introduction to Geospatial Data Analysis in Python is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn Python for geospatial and GIS data analysis using various open source big data

Course description
  • Introduction to Geospatial Data Analysis in Python
  • Download Python and the Jupyter Notebook using Anaconda.
  • Create Interactive Maps with Leaflet.
  • Import data in to Python for spatial analysis and visualization.
  • Organize data inside a pandas dataframe.
  • Query data from Python pandas dataframe.
  • A working computer (Windows, Mac, or Linux).
  • No prior knowledge of Python is required.
  • 1 hour on-demand video
  • 1 article
  • 11 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Spatial eLearning
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Prerequisites & Facts

Introduction to Geospatial Data Analysis in Python

Course Topic

Excel, IT & Software

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Introduction to Geospatial Data Analysis in Python

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Introduction to Geospatial Data Analysis in Python
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School: Udemy
Topic: Math, Python, Teaching & Academics

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